10 #if !defined(KRATOS_EIGEN_SPARSE_LU_SOLVER_H_INCLUDED)
11 #define KRATOS_EIGEN_SPARSE_LU_SOLVER_H_INCLUDED
14 #include <Eigen/Sparse>
26 template <
typename TScalar =
double>
35 Eigen::SparseLU<SparseMatrix> m_solver;
40 return "eigen_sparse_lu";
51 const bool success = m_solver.info() == Eigen::Success;
58 bool Solve(Eigen::Ref<const Vector>
b, Eigen::Ref<Vector>
x)
const
60 x = m_solver.solve(
b);
62 const bool success = m_solver.info() == Eigen::Success;
69 rOStream <<
"EigenDirectSolver <" <<
Name() <<
"> finished.";
74 return m_solver.lastErrorMessage();
Definition: eigen_sparse_lu_solver.h:28
bool Compute(Eigen::Map< const SparseMatrix > a)
Definition: eigen_sparse_lu_solver.h:47
bool Solve(Eigen::Ref< const Vector > b, Eigen::Ref< Vector > x) const
Definition: eigen_sparse_lu_solver.h:58
TScalar Scalar
Definition: eigen_sparse_lu_solver.h:30
Kratos::EigenDynamicVector< Scalar > Vector
Definition: eigen_sparse_lu_solver.h:32
void Initialize(Parameters settings)
Definition: eigen_sparse_lu_solver.h:43
std::string GetSolverErrorMessages() const
Definition: eigen_sparse_lu_solver.h:72
Kratos::EigenSparseMatrix< Scalar > SparseMatrix
Definition: eigen_sparse_lu_solver.h:31
static std::string Name()
Definition: eigen_sparse_lu_solver.h:38
void PrintInfo(std::ostream &rOStream) const
Definition: eigen_sparse_lu_solver.h:67
This class provides to Kratos a data structure for I/O based on the standard of JSON.
Definition: kratos_parameters.h:59
#define KRATOS_ERROR_IF(conditional)
Definition: exception.h:162
REF: G. R. Cowper, GAUSSIAN QUADRATURE FORMULAS FOR TRIANGLES.
Definition: mesh_condition.cpp:21
Eigen::SparseMatrix< _Scalar, Eigen::RowMajor, int > EigenSparseMatrix
Definition: linear_solvers_define.h:35
Eigen::Matrix< _Scalar, Eigen::Dynamic, 1 > EigenDynamicVector
Definition: linear_solvers_define.h:33
a
Definition: generate_stokes_twofluid_element.py:77
b
Definition: generate_total_lagrangian_mixed_volumetric_strain_element.py:31
x
Definition: sensitivityMatrix.py:49